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The future challenge of Earth science education research
Disciplinary and Interdisciplinary Science Education Research, 2019 This article addresses the question of what the future directions and emphases of the research in the earth science education field ought to be. During the past 30 years, Earth science education research has established a solid theoretical foundation, as
Nir Orion
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Adoption of Machine Learning Techniques in Ecology and Earth Science [PDF]
One Ecosystem, 2016 The natural sciences, such as ecology and earth science, study complex interactions between biotic and abiotic systems in order to infer understanding and make predictions.
Anne Thessen
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Toward a Collective Agenda on AI for Earth Science Data Analysis [PDF]
IEEE Geoscience and Remote Sensing Magazine, 2021 In past years, we have witnessed the fields of geosciences and remote sensing and artificial intelligence (AI) become closer. Thanks to the massive availability of observational data, improved simulations, and algorithmic advances, these disciplines have
D. Tuia +5 more
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Earth Science Informatics, 2023 Since its official establishment in 2010, Google Earth Engine (GEE) has developed rapidly and has played a significant role in the global remote sensing community.
Binh Pham-Duc +3 more
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Earth Science Education as a Key Component of Education for Sustainability
Sustainability, 2021 Environmental insight has emerged as a new scientific concept which incorporates the understanding that the Earth is made up of interworking subsystems and the acceptance that humans must act in harmony with the Earth’s dynamic balanced cycle. This Earth
C. Vasconcelos, N. Orion
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The Earth Surface Mineral Dust Source Investigation: An Earth Science Imaging Spectroscopy Mission
IEEE Aerospace Conference, 2020 The Earth Surface Mineral Dust Source Investigation, EMIT, is planned to operate from the International Space Station starting no earlier than the fall of 2021.
R. Green +57 more
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Recoletos Multidisciplinary Research Journal, 2023 This study developed and validated E-learning Self-directed Interactive Modules (E-SelfIMo) for Earth Science. The study employed Research and Development method, using the Borg and Gall development procedure, in creating eight e-modules using Kotobee ...
Nestor Jr. Lasala
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A new international initiative for facilitating data-driven Earth science transformation
Special Publications, 2020 Data-driven techniques including machine-learning (ML) algorithms with big data are re-activating and re-empowering research in traditional disciplines for solving new problems.
Q. Cheng, R. Oberhänsli, Molei Zhao
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PANGAEA - Data Publisher for Earth & Environmental Science
Scientific Data, 2023 The information system PANGAEA provides targeted support for research data management as well as long-term data archiving and publication. PANGAEA is operated as an open access library for archiving, publishing, and distributing georeferenced data from ...
J. Felden +7 more
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Envisioning Indigenous Models for Social and Ecological Change in the Anthropocene
Journal of World-Systems Research, 2020 Indigenous societies provide alternatives to hegemonic social institutions that global capitalism spread around the world, contributing to human caused environmental degradation called the Anthropocene, coterminous with the development of the modern ...
James Fenelon, Jennifer Alford
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